feat(api): 叙事 prompt、职业上下文、读路径章节、WS 解耦与错误脱敏
- 回忆录:事实边界补充允许清单;传记文体示例与 JSON 叙事要求对齐 - default 职业提示 occupation_context;cadre/military 退休语境 - GET 章节读路径零写入,prepare_chapter_read_view + markdown_for_response - 文本归一抽到 core/text_normalize;移除弃用 reply 策略与 recompose_chapters_for_story - ConversationService:WS 连接/用户段落/结束对话;对外错误固定文案 - 测试:HTTP 脱敏契约、章节读视图、occupation 与 background_voice
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@@ -2,24 +2,22 @@
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from unittest.mock import patch
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from app.features.memoir.oral_normalize import (
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apply_oral_normalization_rules,
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normalize_oral_for_memoir,
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)
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from app.core.text_normalize import apply_oral_rules
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from app.features.memoir.oral_normalize import normalize_oral_for_memoir
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def test_apply_rules_mei_kanshang_wo() -> None:
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assert "没看上我" in apply_oral_normalization_rules("我去试镜了 美看上我 张伟")
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assert "没看上我" in apply_oral_rules("我去试镜了 美看上我 张伟")
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def test_apply_rules_mei_kanshang_ni() -> None:
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assert apply_oral_normalization_rules("美看上你") == "没看上你"
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assert apply_oral_rules("美看上你") == "没看上你"
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def test_apply_rules_no_false_positive_rong() -> None:
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"""「美容」等不应被误替换。"""
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s = "我去了解美容项目"
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assert apply_oral_normalization_rules(s) == s
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assert apply_oral_rules(s) == s
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def test_normalize_respects_global_off() -> None:
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